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浑河太子河流域地形和土地利用对表层土壤养分空间变异的影响

朱菊兰1,2,刘淼2*,张阳1,宫继萍2,3,睢晋玲2,3   

  1. 1沈阳师范大学化学与生命科学学院, 沈阳 110034; 2中国科学院沈阳应用生态研究所, 沈阳 110016; 3中国科学院大学, 北京 100049)
  • 出版日期:2016-03-10 发布日期:2016-03-10

Effects of topographic factors and land use on the spatial variability of topsoil nutrients in HunTai river basin.

ZHU Ju-lan1,2, LIU Miao2*, ZHANG Yang1, GONG Ji-ping2,3, SUI Jin-ling2,3   

  1. (1College of Chemistry and Life Sciences, Shenyang Normal University, Shenyang 110034, China; 2Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 3University of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2016-03-10 Published:2016-03-10

摘要: 应用GIS技术,综合统计学和地统计学方法,探讨了浑河太子河流域表层土壤养分的空间分布,同时分析了地形因子、土地利用及其交互作用对土壤养分空间变异的影响。结果表明:海拔、坡度与土壤有机质、全氮、全磷呈极显著正相关,与全钾呈极显著负相关;坡向的影响不显著。林地和草地的有机质、全磷平均含量相对较高;水田和旱地的全钾平均含量较高。地形因子与土地利用方式的交互作用显著影响土壤养分含量。有机质、全氮和全磷含量高的区域集中在海拔较高、坡度较大的林地和草地。地形条件和土地利用方式能够解释研究区土壤养分的空间变异。

关键词: 理想生态系统, 空间解析, 景观格局分析, 徽派村落, 三维景观指数

Abstract: Based on the GIS, statistics and geostatistics method, this study simulated the spatial distribution of surface soil nutrients, and explored the effects of topographic factors, land use types and their interaction in HunTai river basin. The results indicated that elevation and slope were positively correlated with soil organic matter (SOM), total nitrogen (TN) and total phosphorus (TP) concentrations, while negatively correlated with total potassium (TK) concentration. Aspect had no significant effects on these soil nutrient properties. Forest and grassland had higher SOM and TP concentrations. Paddy field and cropland had higher TK concentration. Land use and topographic factors interactively affected soil nutrient properties. Higher SOM, TN and TP concentrations were distributed in the forest and grassland with higher elevation and greater slope. Topographic conditions and land use types can explain the spatial variability of soil nutrients in the study area.

Key words: Huizhou-Styled Village, 3D landscape indices, spatial analysis, landscape pattern analysis, ideal ecosystem model